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2.
Eur J Hum Genet ; 31(9): 1078-1082, 2023 09.
Artículo en Inglés | MEDLINE | ID: mdl-37088804

RESUMEN

Some patients with Lynch syndrome (LS) have extreme phenotypes, i.e. cancer before the recommended screening age, or cancer for which there are no screening guidelines. We made the hypothesis that additional germline variants in cancer susceptibility genes (CSG) could explain some of these phenotypes. We compared the prevalence of additional CSG variants in LS patients with a cancer diagnosis before age 30 (early-onset, EO group) and after 40 (usual-onset, UO group). While there was no overall difference, we did find an excess of pathogenic variants and variants of unknown significance in EO cases when only gastrointestinal CSG were considered (OR 2.25; 95% CI: 1.01-5.06, p value = 0.04). Four EO cases stood out: two with POLE/POLD1 variants in the key exonuclease domain, one with a BMPR1A duplication and one with an EPCAM deletion. Additional germline variants should be considered in future screening recommendations, as they might influence cancer risk.


Asunto(s)
Neoplasias Colorrectales Hereditarias sin Poliposis , Humanos , Neoplasias Colorrectales Hereditarias sin Poliposis/diagnóstico , Neoplasias Colorrectales Hereditarias sin Poliposis/genética , Neoplasias Colorrectales Hereditarias sin Poliposis/patología , Mutación de Línea Germinal , Riesgo , Fenotipo
3.
J Pain Res ; 13: 467-473, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32184651

RESUMEN

PURPOSE: Complex regional pain syndrome (CRPS) is a rare neuropathic pain condition characterized by sensory, motor and autonomic alterations. Previous investigations have shown that transcranial direct current stimulation (tDCS) and transcutaneous electrical nerve stimulation (TENS) can alleviate pain in various populations, and that a combination of these treatments could provide greater hypoalgesic effects. In the present case report, we describe the effect of tDCS and TENS treatment on pain intensity and unpleasantness in a patient suffering from chronic CRPS. RESULTS: The patient was a 37-year-old woman, suffering from left lower limb CRPS (type I) for more than 5 years. Despite medication (pregabalin, tapentadol, duloxetine), rehabilitation treatments (sensorimotor retraining, graded motor imagery) and spinal cord stimulation (SCS), the participant reported moderate to severe pain. Treatments of tDCS alone (performed with SCS turned off during tDCS application, 1 session/day, for 5 consecutive days) did not significantly decrease pain. Combining tDCS with TENS (SCS temporarily turned off during tDCS, 1 session/day, for 5 consecutive days) slightly reduced pain intensity and unpleasantness. DISCUSSION: Our results suggest that combining tDCS and TENS could be a therapeutic strategy worth investigating further to relieve pain in chronic CRPS patients. Future studies should examine the efficacy of combined tDCS and TENS treatments in CRPS patients, and other chronic pain conditions, with special attention to the cumulative and long-term effects and its effect on function and quality of life.

4.
Comput Math Methods Med ; 2017: 9193630, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-29312466

RESUMEN

When considering a genetic disease with variable age at onset (e.g., familial amyloid neuropathy, cancers), computing the individual risk of the disease based on family history (FH) is of critical interest for both clinicians and patients. Such a risk is very challenging to compute because (1) the genotype X of the individual of interest is in general unknown, (2) the posterior distribution ℙ(X∣FH, T > t) changes with t (T is the age at disease onset for the targeted individual), and (3) the competing risk of death is not negligible. In this work, we present modeling of this problem using a Bayesian network mixed with (right-censored) survival outcomes where hazard rates only depend on the genotype of each individual. We explain how belief propagation can be used to obtain posterior distribution of genotypes given the FH and how to obtain a time-dependent posterior hazard rate for any individual in the pedigree. Finally, we use this posterior hazard rate to compute individual risk, with or without the competing risk of death. Our method is illustrated using the Claus-Easton model for breast cancer. The competing risk of death is derived from the national French registry.


Asunto(s)
Teorema de Bayes , Neoplasias de la Mama/genética , Predisposición Genética a la Enfermedad , Neoplasias Ováricas/genética , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Genotipo , Heterocigoto , Humanos , Persona de Mediana Edad , Linaje , Sistema de Registros , Medición de Riesgo , Tasa de Supervivencia , Adulto Joven
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